Queueing Theory deals with systems where there is contention for
resources, but the demands are only known probabilistically.
This book can be considered to be a monograph or a textbook, and
thus is aimed at two audiences: those who already know Queueing
Theory but would like to know more of the Linear Algebraic
Approach; and as a rst course for students who don't already have a
strong background in probability, and feel more comfortable with
algebraic arguments. Also, the equations are well suited to easy
computation. In fact, there is much discussion on how various
properties can be easily computed in any language that has
automatic matrix operations (e.g., MATLAB). To help with physical
insight, there are over 80 gures, numerous examples and exercises
distributed throughout the book. There are, perhaps 50 books on QT
that are available today, and most practitioners have several of
them on their shelves. This book would be a good addition, as well
as a good supplement to another text.
This second edition has been updated throughout including a new
chapter on Semi Markov Processes and new material on matrix
representations of distributions and Power-tailed distribution.
Lester Lipsky is a Professor in the Department of Computer
Science and Engineering at the University of Connecticut.
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